States Use BI, Data Warehousing To Recoup Unpaid Taxes - InformationWeek

InformationWeek is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them.Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

IoT
IoT
Government // Open Government
News
5/8/2009
09:43 AM
Connect Directly
Twitter
RSS
E-Mail
50%
50%

States Use BI, Data Warehousing To Recoup Unpaid Taxes

Ohio, which already uses Cognos business intelligence tools, will add a Teradata data warehouse and additional data mining tools to its tax collection arsenal.

President Barack Obama's budget, announced Thursday, would almost double federal funding to enforce tax laws next year, with the partial aim of closing the estimated $300 billion "tax gap" between taxes owed and taxes paid. However, the federal government isn't alone in trying new ways to hunt down unpaid taxes.

States are increasingly using data warehousing and complex business intelligence tools to find delinquent or underreporting taxpayers, collect additional tax revenue, and even predict where unpaid taxes are likely to be hiding.

The state of Ohio is the latest to upgrade its system.

The Internal Revenue Service and a number of states, including Texas, have been using data warehouses to help pull together tax data and reduce losses for as long as a decade, but some states have held out. Many have gone only part of the way to a complete system of business intelligence coupled with a data warehouse, and are only now applying the technology to help recoup unpaid taxes.

For example, Ohio's tax discovery division, which already uses Cognos business intelligence tools to analyze tax data to find residents who aren't filing or are filing incorrectly, will soon be adding a Teradata data warehouse and additional data mining tools to the mix.

Four years ago, Ohio's tax discovery division spun off from its existence as a set of standalone discovery divisions for different types of taxes. It has found tax discovery to be a profitable business, to the tune of more than $100 million of additional tax revenue analyzed and begun to be recouped with the use of Cognos and other tools.

Much of Ohio's current system is homegrown, however, built by internal IT pros rather than by data warehousing experts. The state realized that, although it was bringing in significant amounts of money, there was a lot more to be had. "What Teradata is going to bring to us is how to mine the data better, and more efficiently," Ohio tax discovery administrator Vaughn Lombardo said in an interview.

In the past, most states have pulled in tax data from each source independently, or have done some limited data matching with external sources such as the IRS in order to find noncompliance. Before it bought Teradata in 2004, the state of Missouri had separate legacy databases holding information on employee withholding, individual income tax, corporate taxes, and sales taxes that didn't talk to one another.

We welcome your comments on this topic on our social media channels, or [contact us directly] with questions about the site.
Previous
1 of 2
Next
Comment  | 
Print  | 
More Insights
Commentary
What Becomes of CFOs During Digital Transformation?
Joao-Pierre S. Ruth, Senior Writer,  2/4/2020
News
Fighting the Coronavirus with Analytics and GIS
Jessica Davis, Senior Editor, Enterprise Apps,  2/3/2020
Slideshows
IT Careers: 10 Job Skills in High Demand This Year
Cynthia Harvey, Freelance Journalist, InformationWeek,  2/3/2020
White Papers
Register for InformationWeek Newsletters
Video
Current Issue
IT 2020: A Look Ahead
Are you ready for the critical changes that will occur in 2020? We've compiled editor insights from the best of our network (Dark Reading, Data Center Knowledge, InformationWeek, ITPro Today and Network Computing) to deliver to you a look at the trends, technologies, and threats that are emerging in the coming year. Download it today!
Slideshows
Flash Poll